diff --git a/.codespellrc b/.codespellrc
new file mode 100644
index 0000000..1ffebb2
--- /dev/null
+++ b/.codespellrc
@@ -0,0 +1,4 @@
+[codespell]
+skip = .git,*.pdf,*.svg
+ignore-regex = ^\s*"image/\S+": ".*
+ignore-words-list = adn
diff --git a/.github/workflows/codespell.yml b/.github/workflows/codespell.yml
new file mode 100644
index 0000000..3ebbf55
--- /dev/null
+++ b/.github/workflows/codespell.yml
@@ -0,0 +1,22 @@
+---
+name: Codespell
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+permissions:
+  contents: read
+
+jobs:
+  codespell:
+    name: Check for spelling errors
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+      - name: Codespell
+        uses: codespell-project/actions-codespell@v2
diff --git a/pynacollada/Pynapple Paper Figures/Siegle 2021/Siegle_dataset.ipynb b/pynacollada/Pynapple Paper Figures/Siegle 2021/Siegle_dataset.ipynb
index 289a2e7..07dfd36 100644
--- a/pynacollada/Pynapple Paper Figures/Siegle 2021/Siegle_dataset.ipynb	
+++ b/pynacollada/Pynapple Paper Figures/Siegle 2021/Siegle_dataset.ipynb	
@@ -41,7 +41,7 @@
    "source": [
     "The __EcephysProjectCache__ object of the AllenSDK delivers the data to you as ready-to-analyze Python objects. It automatically keeps track of which files are stored locally, and will download additional files as needed.\n",
     "\n",
-    "The next bit involves dowloading the data onto your local machine. This section is adapted from <a href=\"https://allensdk.readthedocs.io/en/2.16.0/_static/examples/nb/ecephys_data_access.html\" target=\"_blank\">here</a>, where you can find a more detailed account of how to use data from the Allen Institute.\n",
+    "The next bit involves downloading the data onto your local machine. This section is adapted from <a href=\"https://allensdk.readthedocs.io/en/2.16.0/_static/examples/nb/ecephys_data_access.html\" target=\"_blank\">here</a>, where you can find a more detailed account of how to use data from the Allen Institute.\n",
     "\n",
     "Before downloading the data, you must decide where the manifest.json file lives. This file serves as the map that guides the EcephysProjectCache object to the file locations.\n",
     "\n",
diff --git a/pynacollada/eeg_processing/Tutorial_ripple_detection.ipynb b/pynacollada/eeg_processing/Tutorial_ripple_detection.ipynb
index 2995889..910d83d 100644
--- a/pynacollada/eeg_processing/Tutorial_ripple_detection.ipynb
+++ b/pynacollada/eeg_processing/Tutorial_ripple_detection.ipynb
@@ -176,7 +176,7 @@
    "id": "82b21ea7",
    "metadata": {},
    "source": [
-    "Second step is to look at the enveloppe of the filtered signal."
+    "Second step is to look at the envelope of the filtered signal."
    ]
   },
   {
diff --git a/pynacollada/eeg_processing/eeg_processing.py b/pynacollada/eeg_processing/eeg_processing.py
index 4965ad0..a640314 100644
--- a/pynacollada/eeg_processing/eeg_processing.py
+++ b/pynacollada/eeg_processing/eeg_processing.py
@@ -64,7 +64,7 @@ def bandpass_filter(data, lowcut, highcut, fs, order=4):
             time_units='s')
 
     else:
-        raise RuntimeError("Unknow format. Should be Tsd/TsdFrame")
+        raise RuntimeError("Unknown format. Should be Tsd/TsdFrame")
 
 def detect_oscillatory_events(lfp, epoch, freq_band, thres_band, duration_band, min_inter_duration, wsize=51):
     """
@@ -85,7 +85,7 @@ def detect_oscillatory_events(lfp, epoch, freq_band, thres_band, duration_band,
     min_inter_duration : float
         The minimum duration between two events otherwise they are merged (in seconds)
     wsize : int, optional
-        The size of the window for digitial filtering
+        The size of the window for digital filtering
     
     Returns
     -------
@@ -145,7 +145,7 @@ def detect_oscillatory_events(lfp, epoch, freq_band, thres_band, duration_band,
 
 # def getPeaksandTroughs(lfp, min_points):
 #   """  
-#       At 250Hz (1250/5), 2 troughs cannont be closer than 20 (min_points) points (if theta reaches 12Hz);     
+#       At 250Hz (1250/5), 2 troughs cannot be closer than 20 (min_points) points (if theta reaches 12Hz);     
 #   """
 #   import scipy.signal
 #   if isinstance(lfp, nap.time_series.Tsd):
diff --git a/pynacollada/neural_tuning/neural_tuning.py b/pynacollada/neural_tuning/neural_tuning.py
index ed2c11b..ba8a0ed 100644
--- a/pynacollada/neural_tuning/neural_tuning.py
+++ b/pynacollada/neural_tuning/neural_tuning.py
@@ -183,7 +183,7 @@ def centerTuningCurves(tcurve):
 # copied to neural_tuning
 def offsetTuningCurves(tcurve, diffs):
 	"""
-	offseting tuning curves synced by diff
+	offsetting tuning curves synced by diff
 	"""	
 	new_tcurve 		= []
 	for p in tcurve.columns:	
diff --git a/pynacollada/position_tracking/1819-211231_1.h5 b/pynacollada/position_tracking/1819-211231_1.h5
old mode 100755
new mode 100644